Advanced nursing practice and research contributions to precision medicine

Nursing strategies to address health disparities in genomics-informed care: a scoping review

OBJECTIVE

The objective of this review was to map the available global evidence on strategies that nurses can use to facilitate genomics-informed health care to address health disparities to inform the development of a research and action agenda.

INTRODUCTION

The integration of genomics into health care is improving patient outcomes through better prevention, diagnostics, and treatment; however, scholars have noted concerns with widening health disparities. Nurses work across the health system and can address health disparities from a clinical, research, education, policy, and leadership perspective. To do this, a comprehensive understanding of existing genomics-informed strategies is required.

INCLUSION CRITERIA

Published (qualitative, quantitative, mixed methods studies, systematic and literature reviews and text and opinion papers) and unpublished (gray) literature that focuses on genomics-informed nursing strategies to address health disparities over the last 10 years were included. No limitations were placed on language.

METHODS

The review was conducted in accordance with the JBI methodology for scoping reviews. A search was undertaken on May 25, 2023, across 5 databases: MEDLINE (Ovid), Embase, Cochrane Library (Ovid), APA PsycINFO (EBSCOhost), and CINAHL (EBSCOhost). Gray literature was searched through websites, including the International Society of Nurses in Genetics and the Global Genomics Nursing Alliance. Abstracts, titles, and full texts were screened by 2 or more independent reviewers. Data were extracted using a data extraction tool. The coded data were analyzed by 2 or more independent reviewers using conventional content analysis and the summarized results are presented using descriptive statistics and evidence tables.

RESULTS

In total, we screened 818 records and 31 were included in the review. The majority of papers were published in either 2019 (n=5, 16%), 2020 (n=5, 16%), or 2021 (n=5, 16%). Most papers came from the United States (n=25, 81%) followed by the Netherlands (n=3, 10%), United Kingdom (n=1, 3%), Tanzania (n=1, 3%) and written from a global perspective (n=1, 3%). Nearly half the papers discussed cancer-related conditions (n=14, 45%) and most of the others did not specify a disease or condition (n=12, 30%). In terms of population, nurse clinicians were mentioned the most frequently (n=16, 52%) followed by nurse researchers, scholars, or scientists (n=8, 26%). The patient population varied, with African American patients or communities (n=7, 23%) and racial or ethnic minorities (n=6, 19%) discussed most frequently. The majority of equity issues focused on inequitable access to genetic and genomics health services amongst ethnic and racial groups (n=14, 45%), individuals with lower educational attainment or health literacy (n=6, 19%), individuals with lower socioeconomic status (n=3, 10%), migrants (n=3, 10%), individuals with lack of insurance coverage (n=2, 6%), individuals living in rural or remote areas (n=1, 3%) individuals of older age (n=1, 3%). Root causes contributing to health disparity issues varied at the patient, provider, and system levels. Strategies were grouped into 2 categories: those to prepare the nursing workforce and those nurses can implement in practice. We further categorized the strategies by domains of practice, including clinical practice, education, research, policy advocacy, and leadership. Papers that mentioned strategies focused on preparing the nursing workforce were largely related to the education domain (n=16, 52%), while papers that mentioned strategies that nurses can implement were mostly related to clinical practice (n=19, 61%).

CONCLUSIONS

Nurses in all domains of practice can draw on the identified strategies to address health disparities related to genomics in health care. We found a notable lack of intervention and evaluation studies exploring the impact on health and equity outcomes. Additional research informed by implementation science and that measures health outcomes is needed to identify best practices.

SUPPLEMENTAL DIGITAL CONTENT

A French-language version of the abstract of this review is available as Supplemental Digital Content [ http://links.lww.com/SRX/A65 ].

Achieving Comprehensive, Patient-Centered Cancer Services: Optimizing the Role of Advanced Practice Nurses at the Core of Precision Health

OBJECTIVES

The field of oncology has been revolutionized by precision medicine, driven by advancements in molecular and genomic profiling. High-throughput genomic sequencing and non-invasive diagnostic methods have deepened our understanding of cancer biology, leading to personalized treatment approaches. Precision health expands on precision medicine, emphasizing holistic healthcare, integrating molecular profiling and genomics, physiology, behavioral, and social and environmental factors. Precision health encompasses traditional and emerging data, including electronic health records, patient-generated health data, and artificial intelligence-based health technologies. This article aims to explore the opportunities and challenges faced by advanced practice nurses (APNs) within the precision health paradigm.

METHODS

We searched for peer-reviewed and professional relevant studies and articles on advanced practice nursing, oncology, precision medicine and precision health, and symptom science.

RESULTS

APNs' roles and competencies align with the core principles of precision health, allowing for personalized interventions based on comprehensive patient characteristics. We identified educational needs and policy gaps as limitations faced by APNs in fully embracing precision health.

CONCLUSION

APNs, including nurse practitioners and clinical nurse specialists, are ideally positioned to advance precision health. Nevertheless, it is imperative to overcome a series of barriers to fully leverage APNs' potential in this context.

IMPLICATIONS FOR NURSING PRACTICE

APNs can significantly contribute to precision health through their competencies in predictive, preventive, and health promotion strategies, personalized and collaborative care plans, ethical considerations, and interdisciplinary collaboration. However, there is a need to foster education in genetics and genomics, encourage continuous professional development, and enhance understanding of artificial intelligence-related technologies and digital health. Furthermore, APNs' scope of practice needs to be reflected in policy making and legislation to enable effective contribution of APNs to precision health.

Clinical Informatics Team Members' Perspectives on Health Information Technology Safety After Experiential Learning and Safety Process Development: Qualitative Descriptive Study

BACKGROUND

Although intended to support improvement, the rapid adoption and evolution of technologies in health care can also bring about unintended consequences related to safety. In this project, an embedded researcher with expertise in patient safety and clinical education worked with a clinical informatics team to examine safety and harm related to health information technologies (HITs) in primary and community care settings. The clinical informatics team participated in learning activities around relevant topics (eg, human factors, high reliability organizations, and sociotechnical systems) and cocreated a process to address safety events related to technology (ie, safety huddles and sociotechnical analysis of safety events).

OBJECTIVE

This study aimed to explore clinical informaticians' experiences of incorporating safety practices into their work.

METHODS

We used a qualitative descriptive design and conducted web-based focus groups with clinical informaticians. Thematic analysis was used to analyze the data.

RESULTS

A total of 10 informants participated. Barriers to addressing safety and harm in their context included limited prior knowledge of HIT safety, previous assumptions and perspectives, competing priorities and organizational barriers, difficulty with the reporting system and processes, and a limited number of reports for learning. Enablers to promoting safety and mitigating harm included participating in learning sessions, gaining experience analyzing reported events, participating in safety huddles, and role modeling and leadership from the embedded researcher. Individual outcomes included increased ownership and interest in HIT safety, the development of a sociotechnical systems perspective, thinking differently about safety, and increased consideration for user perspectives. Team outcomes included enhanced communication within the team, using safety events to inform future work and strategic planning, and an overall promotion of a culture of safety.

CONCLUSIONS

As HITs are integrated into care delivery, it is important for clinical informaticians to recognize the risks related to safety. Experiential learning activities, including reviewing safety event reports and participating in safety huddles, were identified as particularly impactful. An HIT safety learning initiative is a feasible approach for clinical informaticians to become more knowledgeable and engaged in HIT safety issues in their work.

Current State of Genomics in Nursing: A Scoping Review of Healthcare Provider Oriented (Clinical and Educational) Outcomes (2012-2022)

In the 20 years since the initial sequencing of the human genome, genomics has become increasingly relevant to nursing. We sought to chart the current state of genomics in nursing by conducting a systematic scoping review of the literature in four databases (2012-2022). The included articles were categorized according to the Cochrane Collaboration outcome domains/sub-domains, and thematic analysis was employed to identify key topical areas to summarize the state of the science. Of 8532 retrieved articles, we identified 232 eligible articles. The articles primarily reported descriptive studies from the United States and other high-income countries (191/232, 82%). More than half (126/232, 54.3%) aligned with the "healthcare provider oriented outcomes" outcome domain. Three times as many articles related to the "knowledge and understanding" sub-domain compared to the "consultation process" subdomain (96 vs. 30). Five key areas of focus were identified, including "nursing practice" (50/126, 40%), "genetic counseling and screening" (29/126, 23%), "specialist nursing" (21/126, 17%), "nurse preparatory education" (17/126, 13%), and "pharmacogenomics" (9/126, 7%). Only 42/126 (33%) articles reported interventional studies. To further integrate genomics into nursing, study findings indicate there is a need to move beyond descriptive work on knowledge and understanding to focus on interventional studies and implementation of genomics into nursing practice.

[Application Status and Prospects of Precision Nursing Under the Concept of Enhanced Recovery After Surgery]

With the development of enhanced recovery after surgery (ERAS), major breakthroughs have been made in this field of study. However, the research fields still need to be continuously expanded to meet the needs of patients. The concept of precision therapy is widely applied in the field of nursing. Under the concept of ERAS, practical studies of applying precision nursing for the perioperative period have already been conducted, exploring such issues as precision nursing assessment, precision nursing intervention design, precision risk prediction model, and information technology to assist precision nursing practice. Research findings have preliminarily validated the safety and effectiveness of applying precision nursing for ERAS in the perioperative period. Herein, we reviewed the reported findings of relevant research published in recent years and identified the following problems in the implementation of precision nursing under the ERAS concept, a lack of implementation standards, challenges concerning the the role of nurses, a lack of high-quality research evidence in the existing literature, and a relevant big data processing platform that China does not have and therefore cannot carry out data sharing, integration, mining, and utilization. We also made suggestions for effective improvement and discussed research prospects. In the future, multidisciplinary collaboration, translational medical research, and the development of various innovative tools are to be strengthened to help improve the quality and effectiveness of nursing care. We hope to provide reference for improving the scientific and targeted implementation of precision nursing for ERAS in the perioperative period.

Nursing science as a federally-recognized STEM degree: A call to action for the United States with global implications

Nursing science contributes to advancements in patient care, public health, and innovation within numerous scientific domains. Despite commonality with United States Department of Education definitions of a science, technology, engineering, and mathematics (STEM) educational programs, nursing continues to be excluded from Department of Homeland Security STEM classification. This exclusion prevents societal recognition of nursing as a science and limits attraction of clinicians and nurse scientists born outside of the United States due to omission from various federal visa provisions the Department of Homeland Security classification provides. We evaluated existing Department of Homeland Security STEM-classified educational programs and identified methodological and content congruency among STEM-classified programs and nursing. We provide clear evidence that nursing contributes impactful STEM research; and argue that inclusion is critical for advancement of the profession and the potential to mitigate the faculty shortage. Beyond evaluation of nursing as a STEM field, we offer a policy-focused solution for development and diversification of the nursing workforce.

Genetics and Genomics Teaching in Nursing Programs in a Latin American Country

Although the importance of genetics and genomics in nursing education has been widely recognized, surveys carried out in several countries show that these subjects are still limited in nursing undergraduate programs. In Latin America, the teaching of genetics and genomics in nursing programs has never been previously documented. Considering this scenario, we aimed to investigate how genetics and genomics have been taught in undergraduate nursing programs in Brazil. A total of 138 undergraduate nursing program coordinators and 49 faculty members were recruited to participate in this cross-sectional study. After IRB approval, data were collected using an online survey, covering curriculum design, faculty credentials, genetics and/or genomics teaching, as well as their impressions regarding the document “Essential Nursing Competencies and Curricula Guidelines for Genetics and Genomics”. Genetics is taught in most of the investigated courses (67.3%), mainly by biologists (77.6%), with master’s degree (83.7%), and with the syllabus mainly focused on molecular biology. More instructors agreed with Competency 2 (C2) which refers to advocating for clients’ access to desired genetic/genomic services and/or resources including support groups as well as C23 which refer to using health promotion/disease prevention practices that incorporate knowledge of genetic and genomic risk factors, than coordinators. That is, the participants’ type of appointment (instructors vs. coordinators) had a significant effect on their agreement level with competencies C2 (χ² = 6.23, p = 0.041) and C23 (χ² = 9.36, p = 0.007). Overall, a higher number of participants with both master’s and Ph.D. degrees significantly agreed with competencies C2, C4, which refer to incorporating genetic and genomic technologies and information into registered nurse practice, and C5—demonstrating in practice the importance of tailoring genetic and genomic information and services to clients based on their culture, religion, knowledge level, literacy, and preferred language, when compared to those with Ph.D. only, and those with a master’s degree only (χ² = 8.73, p = 0.033; χ² = 8.61, p = 0.033; χ² = 8.61, p = 0.033, respectively). Our results support reflections on ways to prepare the nursing workforce to deliver personalized nursing care. Additionally, they can be an aid in establishing guidelines for the undergraduate nursing curricula in Brazil and in other Portuguese-speaking countries, as well as in Latin America.

Educational Programme for Cancer Nurses in Genetics, Health Behaviors and Cancer Prevention: A Multidisciplinary Consensus Study

(1) Background: Most common hereditary cancers in Europe have been associated with lifestyle behaviors, and people affected are lacking follow up care. However, access to education programmes to increase knowledge on cancer and genetics and promote healthy lifestyle behaviors in people at high risk of cancer is scarce. This affects the quality of care of people with a hereditary risk of cancer. This study aimed to reach a multidisciplinary consensus on topics and competencies and competencies that cancer nurses need in relation to cancer, genetics, and health promotion. (2) Methods: A two-round online Delphi study was undertaken. Experts in cancer and genetics were asked to assess the relevance of eighteen items and to suggest additional terms. Consensus was defined as an overall agreement of at least 75%. (3) Results: A total of 74 multiprofessional experts from all around the world participated in this study including healthcare professionals working in genetics (39%), researchers in cancer and genetics (31%) and healthcare professionals with cancer patients (30%). Thirteen additional items were proposed. A total of thirty-one items reached consensus. (4) Conclusions: This multidisciplinary consensus study provide the essential elements to build an educational programme to increase cancer nurses’ skills to support the complex care of people living with a higher risk of cancer including addressing lifestyle behaviors. All professionals highlighted the importance of cancer nurses increasing their skills in cancer and genetics.

Clinical and serological associations of autoantibodies in patients with systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is an autoimmune disorder characterized by the formation of antigen-antibody complexes which trigger an immune response. We investigate certain autoantibodies including nucleosome, double-stranded DNA (dsDNA), Smith, ribonucleoprotein, and Sjögren's syndrome-related antigens, and examine their associations with disease activity, damage accrual, and SLE-related clinical and serological manifestations in patients with SLE. We conducted a cross-sectional study with a total 293 patients (90.4% female, mean age 46.87±12.94 years) and used the Systemic Lupus Erythematosus Disease Activity Index 2000 and Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index (SDI) to evaluate disease activity and disease-related damage, respectively. Systemic Lupus Erythematosus Disease Activity Index scores were significantly higher in anti-nucleosome-positive (3.87±2.72 vs 2.52±2.76, p=0.004) and anti-dsDNA-positive (3.08±2.91 vs 2.04±2.48, p=0.010) patients compared with patients without these antibodies. SDI scores were also significantly higher in anti-nucleosome-positive patients (1.61±1.99 vs 0.89±1.06, p=0.004). The presence of antinucleosome (p=0.019) and anti-dsDNA antibodies (p=0.001) both correlated significantly with the incidence of nephritis; anti-La antibodies were associated with arthritis (p=0.022), and we also observed a relationship between the presence of antinucleosome antibodies and leukopenia (p=0.011). Patients with antinucleosome or anti-dsDNA antibodies had a higher disease activity and were likely to have nephritis. Antinucleosome was also associated with more damage accrual. A greater understanding of these autoantibodies could lead to the development of new approaches to more accurate assessments of SLE.

Current status and future directions of U.S. genomic nursing health care policy

BACKGROUND

As genomic science moves beyond government-academic collaborations into routine healthcare operations, nursing's holistic philosophy and evidence-based practice approach positions nurses as leaders to advance genomics and precision health care in routine patient care.

PURPOSE

To examine the status of and identify gaps for U.S. genomic nursing health care policy and precision health clinical practice implementation.

METHODS

We conducted a scoping review and policy priorities analysis to clarify key genomic policy concepts and definitions, and to examine trends and utilization of health care quality benchmarking used in precision health.

FINDINGS

Genomic nursing health care policy is an emerging area. Educating and training the nursing workforce to achieve full dissemination and integration of precision health into clinical practice remains an ongoing challenge. Use of health care quality measurement principles and federal benchmarking performance evaluation criteria for precision health implementation are not developed.

DISCUSSION

Nine recommendations were formed with calls to action across nursing practice workforce and education, nursing research, and health care policy arenas.

CONCLUSIONS

To advance genomic nursing health care policy, it is imperative to develop genomic performance measurement tools for clinicians, purchasers, regulators and policymakers and to adequately prepare the nursing workforce.

Genetic Variation Associated With Depressive Symptoms in Breast Cancer Patients: A Systematic Review

BACKGROUND

Depressive symptoms are highly prevalent in breast cancer patients. These symptoms can contribute to lower treatment adherence, increased healthcare charges, and higher mortality rates. Growing evidence suggests that genetic variations may be associated with depressive symptom susceptibility.

OBJECTIVE

To comprehensively review current findings on the association of genetic variations with depressive symptoms in breast cancer patients.

METHODS

A literature search was conducted using keywords such as gene variation, single-nucleotide polymorphism, depression/depressive symptoms, and breast cancer. Four hundred articles were retrieved from PubMed, Web of Science, CINAHL, and PsycINFO, yielding 9 full-text, data-based articles. The study quality was assessed using the STrengthening the REporting of Genetic Association studies guideline.

RESULTS

Genetic polymorphisms in brain-derived neurotrophic factor (BDNF), interferon γ receptor 1 (IFNGR1), interleukin-6 (IL-6), tumor necrosis factor α (TNFA), and IL-1B were found to be associated with depressive symptoms among breast cancer patients. The role of serotonin transporter gene linked promotor region (5-HTTLPR) functional polymorphisms on depressive symptoms was inconclusive. The overall quality of reporting results and methods was medium.

CONCLUSIONS

This is the first review of genetic variations related to differences in levels of depressive symptoms among breast cancer patients. Genetic polymorphisms in inflammatory, neuronal system, and signal transduction pathways can influence the susceptibility. However, more research regarding this topic is needed to further clarify genetic risk factors.

IMPLICATIONS FOR PRACTICE

Healthcare providers may determine patients at higher risk of developing depression and symptom outcomes if genetic biomarkers with good sensitivity/specificity are provided. This knowledge can potentially help the development of personalized treatment and decision making for those patients.

Precision Health and Nursing: Seeing the Familiar in the Foreign

Precision health is the integration of personal genomic data with biological, environmental, behavioral, and other information relevant to the care of a patient. Genetics and genomics are essential components of precision health. Genetics is the study of the effects of individual genes, and genomics is the study of all the components of the genome and interactions between genes, environmental factors, and other psychosocial and cultural factors. Knowledge about the role of genetics and genomics on health outcomes has increased substantially since the completion of the human genome project in 2003. Insights about genetics and genomics obtained from bench science are now having positive clinical implications on patient health outcomes. Nurses have the potential to make distinct contributions to precision health due to their unique role in the health care system. In this article, we discuss gaps in the development of precision health in nursing and how nursing can expand the definition of precision health to actualize its potential. Precision health plays a role in nursing practice. Understanding this connection positions nurses to incorporate genetic and genomic knowledge into their nursing practice.

Nurse empowerment through Pharmacogenetics

Objective:

to verify the existence of elements that justify the use of pharmacogenetics by the Brazilian nurse.

Method:

this is a quantitative, cross-sectional, observational, descriptive study, whose final sample was 67 individuals. The participants were healthy at the time of the study and reported a history of previous use and the occurrence of adverse effects by drugs commonly used and metabolized by CYP2C9. We collected 4 mL of venous blood for subsequent DNA extraction by salting out method and genotyping of the CYP2C9*2 and CYP2C9*3 polymorphisms, using Polymerase Chain Reaction in real time using Taqman assays.

Results:

the use of drugs metabolized by CYP2C9 was frequent (more than 75% of the individuals have already used between 2 or 4 of these drugs). Regarding adverse events, there were 19 perceived symptomatic occurrences associated with drugs metabolized by CYP2C9. The allele frequency of the polymorphism * 2 and * 3 in the population studied was 11.1% and 7.5%, respectively, and there was a coincidence between the presence of alleles of low enzyme activity and the occurrence of adverse effects.

Conclusion:

there are elements that justify the adoption of pharmacogenetics in the nursing care to reduce the occurrence of adverse reactions to drugs metabolized by CYP2C9.

Precision health: A nursing perspective

Precision health refers to personalized healthcare based on a person's unique genetic, genomic, or omic composition within the context of lifestyle, social, economic, cultural and environmental influences to help individuals achieve well-being and optimal health. Precision health utilizes big data sets that combine omics (i.e. genomic sequence, protein, metabolite, and microbiome information) with clinical information and health outcomes to optimize disease diagnosis, treatment and prevention specific to each patient. Successful implementation of precision health requires interprofessional collaboration, community outreach efforts, and coordination of care, a mission that nurses are well-positioned to lead. Despite the surge of interest and attention to precision health, most nurses are not well-versed in precision health or its implications for the nursing profession. Based on a critical analysis of literature and expert opinions, this paper provides an overview of precision health and the importance of engaging the nursing profession for its implementation. Other topics reviewed in this paper include big data and omics, information science, integration of family health history in precision health, and nursing omics research in symptom science. The paper concludes with recommendations for nurse leaders in research, education, clinical practice, nursing administration and policy settings for which to develop strategic plans to implement precision health.

Precision health research and implementation reviewed through the conNECT framework

BACKGROUND

Precision health is a population-based approach that incorporates big-data strategies to understand the complex interactions between biological, environmental, lifestyle, and psychosocial factors that influence health.

PURPOSE

A promising tool to facilitate precision health research and its dissemination is the ConNECT Framework.

METHODS

Here, we discuss the relationship of the five broad and synergistic principles within the ConNECT Framework as they may apply to nursing science research: (1) Integrating Context, (2) Fostering a Norm of Inclusion, (3) Ensuring Equitable Diffusion of Innovations, (4) Harnessing Communication Technology, and (5) Prioritizing Specialized Training.

DISCUSSION/CONCLUSION

The principles within this framework can be used by nurse scientists and educators to guide and disseminate precision health research.

Genetic Variants Associated with Cancer Pain and Response to Opioid Analgesics: Implications for Precision Pain Management

OBJECTIVE

To review the current knowledge on the association of genetic variants with cancer pain.

DATA SOURCES

Data-based publications and review articles retrieved from PubMed, CINAHL, and Web of Science, as well as an additional search in Google Scholar.

CONCLUSION

Genetic variability can influence differential pain perception and response to opioids in cancer patients, which will have implications in the optimal personalized treatment of cancer pain. More studies are warranted to replicate findings.

IMPLICATIONS FOR NURSING PRACTICE

Nurses are poised to educate patients on biomarker testing and interpretation and to use precision pain management strategies based on this information.

Should 'Omics' education be a part of allied health profession curricula?

Sequencing of human genome followed by monumental progress in omics sciences within last two decades has made personalized nutrition for better health is a reality for near future. The complexity of underlying science in making personalized nutrition recommendation has led to the need for training of health care providers. The International Society of Nutrigenetics/Nutrigenomics (ISNN) has mission to increase the understanding among both professionals and the general public of the role of genetic variation and nutrients in gene expression. To bring this mission to fruition, we need trained healthcare professionals ready to educate public. With this in mind, we have surveyed allied health students for their omics knowledge, desire to learn more and their perception of the need of omics education. The results show a need for training in omics in all allied health disciplines and desire of the students to learn more.

A Systematic Review of Genetic Influence on Psychological Resilience

When exposed to adversity, some individuals are at an increased risk of posttraumatic stress disorder, experiencing persistent biopsychosocial disturbances, whereas others adapt well, described as resilience. Resilience is a complex biopsychosocial phenomenon conceptualized as adaptation to adversity influenced by an individual’s genetic variants, epistasis, epigenetics, and gene-by-environment interactions. Studies on psychological resilience have focused on behavioral and psychosocial variables with far less examination of the genetic contributions. The purpose of this review is to identify specific genetic variants contributing to the biological capacity for psychological resilience. PubMed and PsycINFO were searched using the following key words: psychological resilience AND genotype(s). Additional articles were identified from the Human Genome Epidemiology Navigator using the term resilience, psychological. Ten studies met the criteria. Six genes were empirically associated with psychological resilience: serotonin-transporter-linked polymorphic region ( 5-HTTLPR), dopamine receptor D4, brain-derived neurotrophic factor ( BDNF), corticotropin-releasing hormone receptor 1, oxytocin receptor and regulator of G-protein signaling 2 . The findings of this systematic review suggest that the L/L or L’/L’ genotype of 5-HTTLPR and rs25531 in children/adolescents and the S/S or S’/S’ genotype in adults are most frequently related to resilience. Additionally, the Val/Val genotype of rs6265 in BDNF in Caucasians was also associated with resilience. There are numerous factors contributing to the complexity of determining the genetic influence on resilience including analysis of rs25531, assumptions of the mode of inheritance, operationalization of resilience, demographic and population characteristics, sample size, and other types of genetic influence including epistasis and epigenetics. While current evidence is supportive, further investigation of the genetic influence on resilience is required.

Genomics Education: Knowledge of Nurses Across the Profession and Integration Into Practice

BACKGROUND

Since the completion of the Human Genome Project in 2003, the implications of genetics and genomics for health and illness have become clearer. All nurses, at all levels and across all specialties, must have a basic understanding of genetics and genomics to provide appropriate care. 
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OBJECTIVES

This article provides an overview of the integration of genetics and genomics into nursing education, as well as continued barriers to nursing knowledge of genetics and genomics.
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METHODS

A literature review was conducted using CINAHL®, PubMed, ProQuest, and Google Scholar. Databases were reviewed for literature published from January 1962 to November 2017.
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FINDINGS

Although genetic and genomic education has been integrated into undergraduate and graduate nursing curricula, a gap exists in this knowledge among student nurses, practicing nurses, and nursing faculty.

Developing and Sustaining a Career as a Transdisciplinary Nurse Scientist

PURPOSE

The purpose of this article is to provide an overview of strategies to build and sustain a career as a nurse scientist. This article examines how to integrate technologies and precision approaches into clinical practice, research, and education of the next generation of nursing scholars.

DESIGN

This article presents information for shaping a sustainable transdisciplinary career. Programs of research that utilize self-management to improve quality of life are discussed throughout the article. The ongoing National Institute of Nursing Research-funded (R01 grant) iPhone Helping Evaluate Atrial Fibrillation Rhythm through Technology (iHEART) study is the first prospective, randomized controlled trial to evaluate whether electrocardiographic monitoring with the AliveCor™ device in the real-world setting will improve the time to detection and treatment of recurrent atrial fibrillation over a 6-month period as compared to usual cardiac care.

METHODS

Opportunities to sustain a career as a nurse scientist and build programs of transdisciplinary research are identified. These opportunities are focused within the area of research and precision medicine.

FINDINGS

Nurse scientists have the potential and ability to shape their careers and become essential members of transdisciplinary partnerships. Exposure to clinical research, expert mentorship, and diverse training opportunities in different areas are essential to ensure that contributions to nursing science are visible through publications and presentations as well as through securing grant funding to develop and maintain programs of research.

CONCLUSIONS

Transcending boundaries and different disciplines, nurses are essential members of many diverse teams.

CLINICAL RELEVANCE

Nurse scientists are strengthening research approaches, clinical care, and communication and improving health outcomes while also building and shaping the next generation of nurse scientists.

Driver pattern identification over the gene co-expression of drug response in ovarian cancer by integrating high throughput genomics data

Multiple types of high throughput genomics data create a potential opportunity to identify driver patterns in ovarian cancer, which will acquire some novel and clinical biomarkers for appropriate diagnosis and treatment to cancer patients. To identify candidate driver genes and the corresponding driving patterns for resistant and sensitive tumors from the heterogeneous data, we combined gene co-expression modules with mutation modulators and proposed the method to identify driver patterns. Firstly, co-expression network analysis is applied to explore gene modules for gene expression profiles through weighted correlation network analysis (WGCNA). Secondly, mutation matrix is generated by integrating the CNV data and somatic mutation data, and a mutation network is constructed from the mutation matrix. Thirdly, candidate modulators are selected from significant genes by clustering vertexs of the mutation network. Finally, a regression tree model is utilized for module network learning, in which the obtained gene modules and candidate modulators are trained for the driving pattern identification and modulators regulatory exploration. Many identified candidate modulators are known to be involved in biological meaningful processes associated with ovarian cancer, such as CCL11, CCL16, CCL18, CCL23, CCL8, CCL5, APOB, BRCA1, SLC18A1, FGF22, GADD45B, GNA15, GNA11, and so on.

Driver pattern identification over the gene co-expression of drug response in ovarian cancer by integrating high throughput genomics data

Multiple types of high throughput genomics data create a potential opportunity to identify driver patterns in ovarian cancer, which will acquire some novel and clinical biomarkers for appropriate diagnosis and treatment to cancer patients. To identify candidate driver genes and the corresponding driving patterns for resistant and sensitive tumors from the heterogeneous data, we combined gene co-expression modules with mutation modulators and proposed the method to identify driver patterns. Firstly, co-expression network analysis is applied to explore gene modules for gene expression profiles through weighted correlation network analysis (WGCNA). Secondly, mutation matrix is generated by integrating the CNV data and somatic mutation data, and a mutation network is constructed from the mutation matrix. Thirdly, candidate modulators are selected from significant genes by clustering vertexs of the mutation network. Finally, a regression tree model is utilized for module network learning, in which the obtained gene modules and candidate modulators are trained for the driving pattern identification and modulators regulatory exploration. Many identified candidate modulators are known to be involved in biological meaningful processes associated with ovarian cancer, such as CCL11, CCL16, CCL18, CCL23, CCL8, CCL5, APOB, BRCA1, SLC18A1, FGF22, GADD45B, GNA15, GNA11, and so on.

Driver pattern identification over the gene co-expression of drug response in ovarian cancer by integrating high throughput genomics data

Multiple types of high throughput genomics data create a potential opportunity to identify driver patterns in ovarian cancer, which will acquire some novel and clinical biomarkers for appropriate diagnosis and treatment to cancer patients. To identify candidate driver genes and the corresponding driving patterns for resistant and sensitive tumors from the heterogeneous data, we combined gene co-expression modules with mutation modulators and proposed the method to identify driver patterns. Firstly, co-expression network analysis is applied to explore gene modules for gene expression profiles through weighted correlation network analysis (WGCNA). Secondly, mutation matrix is generated by integrating the CNV data and somatic mutation data, and a mutation network is constructed from the mutation matrix. Thirdly, candidate modulators are selected from significant genes by clustering vertexs of the mutation network. Finally, a regression tree model is utilized for module network learning, in which the obtained gene modules and candidate modulators are trained for the driving pattern identification and modulators regulatory exploration. Many identified candidate modulators are known to be involved in biological meaningful processes associated with ovarian cancer, such as CCL11, CCL16, CCL18, CCL23, CCL8, CCL5, APOB, BRCA1, SLC18A1, FGF22, GADD45B, GNA15, GNA11, and so on.

Improving -Omics-Based Research and Precision Health in Minority Populations: Recommendations for Nurse Scientists

PURPOSE

The purpose of this article is to provide an overview of the role of nurse scientists in -omics-based research and to promote discussion around the conduct of -omics-based nursing research in minority communities. Nurses are advocates, educators, practitioners, scientists, and researchers, and are crucial to the design and successful implementation of -omics studies, particularly including minority communities. The contribution of nursing in this area of research is crucial to reducing health disparities.

METHODS

In this article, challenges in the conduct of -omics-based research in minority communities are discussed, and recommendations for improving diversity among nurse scientists, study participants, and utilization of training and continuing education programs in -omics are provided.

FINDINGS AND CONCLUSIONS

Many opportunities exist for nurses to increase their knowledge in -omics and to continue to build the ranks of nurse scientists as leaders in -omics-based research. In order to work successfully with communities of color, nurse scientists must advocate for participation in the Precision Medicine Initiative, improve representation of nurse faculty of color, and increase utilization of training programs in -omics and lead such initiatives.

CLINICAL RELEVANCE

All nursing care has the potential to be affected by the era of -omics and precision health. By taking an inclusive approach to diversity in nursing and -omics research, nurses will be well placed to be leaders in reducing health disparities through research, practice, and education.

A Research Agenda for Communication Scholars in the Precision Medicine Era

The 2015 announcement of the Precision Medicine Initiative (PMI) galvanized and energized efforts to reconsider medical practice through tailoring of prevention and treatment recommendations based on genetics, environment, and lifestyle. Numerous disciplines contributed white papers identifying challenges associated with PMI and calling for discipline-specific research that might provide solutions to such challenges. Throughout these white papers, the prominence of communication in achieving the PMI's goals is obviously apparent. In this article, we highlight opportunities for communication scholars' contributions to the PMI based on challenges identified in white papers from other disciplines and work already conducted by research teams in the field of communication.

National nursing science priorities: Creating a shared vision

BACKGROUND

Nursing science is essential to advance population health through contributions at all phases of scientific inquiry. Multiple scientific initiatives important to nursing science overlap in aims and population focus.

PURPOSE

This article focused on providing the American Academy of Nursing and nurse scientists in the Unites States with a blueprint of nursing science priorities to inform a shared vision for future collaborations, areas of scientific inquiry, and resource allocation.

METHODS

The Science Committee convened four times and using Delphi methods identified priorities with empirical evidence and expert opinion for prioritization, state of the science, expert interest, and potential target stakeholders.

DISCUSSION

Nursing science priorities for 2017 were categorized into four themes including: (a) precision science, (b) big data and data analytics, (c) determinants of health, and (d) global health.

CONCLUSION

Nurse scientists can generate new knowledge in priority areas that advances the health of the world's populations.